Digital Health Technologies and Artificial Intelligence in Clinical Research
This track will delve into the transformative role of digital health technologies and artificial intelligence (AI) in clinical research. It will cover how AI and machine learning are being utilized for patient recruitment, site selection, data management, and predictive modeling. Sessions will highlight real-world examples of AI-driven trials and the challenges of integrating these technologies, including data standardization, regulatory compliance, and algorithm transparency. The session aims to provide insights into how digital innovations can accelerate clinical research and improve data quality.
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Digital Health Technologies and Artificial Intelligence in Clinical Research Conference Speakers
Recommended Sessions
- Advances in Oncology Clinical Trials
- Biomarkers and Personalized Medicine in Clinical Trials
- Decentralized and Virtual Clinical Trials
- Digital Health Technologies and Artificial Intelligence in Clinical Research
- Drug Safety, Pharmacovigilance, and Risk Management
- Globalization of Clinical Trials: Opportunities and Challenges
- Innovations in Data Management and Statistical Analysis
- Innovative Clinical Trial Design and Methodologies
- Patient Recruitment, Retention, and Engagement Strategies
- Patient-Centric Approaches in Clinical Trials
- Patient-Centric Approaches in Clinical Trials
- Pediatric and Geriatric Clinical Trials
- Post-Market Surveillance and Phase IV Trials
- Real-World Evidence (RWE) and Real-World Data (RWD) in Clinical Research
- Regulatory Compliance and Ethical Considerations in Clinical Trials
- Role of CROs (Contract Research Organizations) in Clinical Trials
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